(Microsoft Word NCS Ho\340ng Van Nam t\363m t?t LA TA 05 04 2023) MINISTRY OF EDUCATION AND TRAINING NATIONAL ECONOMICS UNIVERSITY HOÀNG VĂN NAM IMPACT OF KNOWLEDGE MANAGEMENT ON FIRM PERFORMANC[.]
Trang 1MINISTRY OF EDUCATION AND TRAINING
NATIONAL ECONOMICS UNIVERSITY
- -
HOÀNG VĂN NAM
IMPACT OF KNOWLEDGE MANAGEMENT ON FIRM
PERFORMANCE IN VIETNAMESE ENTERPRISES
MAJOR: HUMAN RESOURCE MANAGEMENT
CODE: 9340404
SUMMARY OF DOCTORAGE THESIS
Hanoi - 2023
WORK IS COMPLETED AT:
NATIONAL ECONOMICS UNIVERSITY
Science instructor: 1 Assoc.Prof.PhD LÊ BA PHONG
2 Assoc.Prof.PhD ĐÀO THỊ THANH LAM
Reviewer 1:
Reviewer 2:
Reviewer 3:
Thesis is defended at the Thesis Judging Committee National Economics University degree
At:… hour, date …… month …… year 2023
The thesis can be found at:
- Vietnam National Library
- Library of National Economics University
Trang 2INTRODUCTION
1 Research purposes
Today, the basis of competitive advantage in enterprises has shifted
from tangible resources to knowledge resources (Wong and Aspinwall,
2005; Tan and Wong, 2015) Knowledge is considered as a valuable asset
for all businesses (Alavi and Leidner, 2001; Lee and Choi, 2003) And
knowledge management is widely recognized as a tool to help enterprises
maintain a competitive advantage in the market (Nonaka and Takeuchi,
1995; Wong, 2005; Al-Mabrouk, 2006; Chang and Chuang, 2011) ; Mills
and Smith, 2011; Tseng and Lee, 2014; Grupta and Chopra, 2018)
In theory, current studies have not provided an integrated model to
assess the impact of knowledge management on business performance
(Payal et al., 2019) Many studies suggest that knowledge management
includes two aspects: knowledge infrastructure capability and knowledge
process capability (Gold et al., 2001; Mills and Smith, 2011; Tan and
Wong, 2015; Alaarj et al., 2016) However, current research has not yet
agreed on the elements that make up the knowledge infrastructure
capability and the knowledge process capability (Gold et al., 2001; Wong
and Aspinwall, 2005; Tan et al., 2001; Wong, 2015; Ngoc-Tan and Gregar,
2019) Therefore, this study has added the factor of “management
leadership and support” to knowledge infrastructure capability At the same
time, previous studies often only evaluated the impact of knowledge
management on operating performance and ignored market performance, so
this thesis will evaluate the performance of enterprises as a combination of
operating performance and market performance In addition, the author also
adds an item for the "technology" factor to suit the development of current
information technology
In practice, most of the previous studies on the impact of knowledge
management on firm performance are usually carried out in developed
countries (Gold et al., 2001; Chang and Chuang, 2011) ;Pérez-López and
Alegre, 2012; Tan and Wong, 2015) Research on knowledge management
in Vietnam is still very new Recently, Ngoc-Tan and Gregar (2019)
evaluated the impact of knowledge management on performance, but this
study was conducted in a higher education environment with knowledge
management activities and scale of performance is far different from the
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Stemming from the above theoretical and practical needs, the author has chosen the topic: "Impact of knowledge management on firm performance in Vietnam" to carry out research projects of doctoral dissertation
2 Research goals
2.1 Overall objectives
The research objective of the thesis is to test and estimate the model
on the impact of the knowledge process capability and knowledge infrastructure capability on firm performance in Vietnamese enterprises, including operating performance and market performance
2.2 Detail objectives
Firstly, consider the impact of first-order construct of (1) knowledge infrastructure capability and (2) knowledge process capability on business performance, including (1) operating performance and (2) market performance
Secondly, consider the impact of second-order construct variables that are (1) knowledge infrastructure capability and (2) knowledge process capability on firm performance
Thirdly, consider the impact of second-order construct variables that are (1) knowledge infrastructure capability on (2) knowledge process capability in Vietnamese enterprises
Fourthly, based on resarch results, the author proposes solutions with the aim of helping managers and leaders in the enterprise
3 Research questions:
Question 1: Which theory is appropriate in studying the impact of knowledge management on firm performance?
Question 2: How does knowledge infrastructure capability affect firm performance?
Question 3: How does the knowledge process capability affect firm performance?
Question 4: How does knowledge infrastructure capability affect the knowledge process capability of Vietnamese enterprises?
Question 5: What solutions need to be taken to promote knowledge process capability and knowledge infrastructure capability in Vietnamese enterprises?
Trang 34 Objects and scope of the research
4.1 Objects of the research
The research object is the impact of knowledge management,
including 2 aspects: (1) knowledge infrastructure capability and (2)
knowledge process capability on firm performance Accordingly, the
knowledge process capability and knowledge infrastructure capability will
be studied on the scale of the whole organization, not focusing on the level
of individuals At the same time, the knowledge process capability and
knowledge infrastructure capability will be assessed by administrators and
leaders in enterprises in Vietnam In addition, the thesis also focuses on
assessing the impact of second-order construct variables of (1) knowledge
infrastructure capability and (2) knowledge process capability on firm
performance including: Operating performance and market performance
4.2 Scope of the research
Regarding research space: The thesis focuses on researching
enterprises in the fields of: Manufacturing, trading, services, information
technology, construction in 31 provinces/cities in all 3 North, Central and
South of Vietnam because these enterprises account for 79,59% of the
structure in the Vietnamese economy (Ministry of Planning and
Investment, 2022)
About research time: The thesis uses primary data based on surveys
by questionnaires for managers and leaders in enterprises in Vietnam in all
3 regions of North Central Vietnam since 2018 to present However, the
survey questionnaire was conducted from May 1, 2021 to the end of
August 31, 2021 At the end of the survey, the author obtained 482
questionnaires that fully answered the information on the answer sheets
from 31 provinces/cities across the country
Regarding research content: Although there are many approaches to
knowledge management in Vietnam and around the world, in this thesis,
the author has extended the research model of Gold et al (2001) ) and Mills
and Smith (2011) by adding the factor “management leadership and
support” to “knowledge infrastructure capability” to assess the impact of
(1) the knowledge process capability and (2) knowledge infrastructure
capability on firm performance including operating and market
performance in Vietnamese enterprises Because the thesis deals with the
performance of the whole organization, the research scope of the thesis
only focuses on the organizational level of the enterprise and does not focus
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on the individual level At the same time, each enterprise selects only one leader who is knowledgeable about knowledge management and operational results to answer the survey questionnaire
4.3 Research methodology
The thesis uses quantitative method with data processing tools such
as reliability analysis of the scale (Cronbach's Alpha), exploratory factor analysis (EFA), descriptive statistics analysis, linear regression according
to least squares method (OLS) based on primary data collection for 482 enterprises in all three regions of North, Central and South in Vietnam
5 New contributions of the thesis
In theory, the thesis has built an overall model to evaluate the impact
of knowledge management on firm performance In which, the thesis has added the element "management leadership and supprot" to knowledge infrastructure capability At the same time, previous studies often only assessed the impact of knowledge management on operating performance,
so this thesis has evaluated firm performance in two aspects: Operating performance and market performance In addition, the author also adds an item for the "technology" factor to suit Vietnamese businesses
In practice, the thesis has pointed out the most important factors of (1) the knowledge process capability and (2) the knowledge infrastructure capability that affects market performance and operating performance in Vietnames enterprises At the same time, the thesis also points out the direct impact of knowledge infrastructure capability on the knowledge process capability in Vietnamese enterprises
At the same time, based on the research results, the author has made
a number of recommendations and solutions to help competent leaders as well as managers in the enterprise to come up with policies to promote knowledge management process to improve operating performance as well
as expand the market in Vietnamese enterprises
6 Structure of doctoral dissertation
In addition of introduction and conclusion, the content of the thesis is presented in 4 chapters:
Chapter 1: Literature review and background theories Chapter 2: Research methodology
Chapter 3: Research results Chapter 4: Conclusion and recommendations
Trang 4CHAPTER 1 LITERATURE REVIEW AND BACKGROUND
THEORIES 1.1 Definitions
1.1.1 Knowledge and knowledge classification
1.1.1.1 Knowledge definition
Knowledge is one of the most popular and sought-after terms in the
world (Holden, 2002) The scholars who have made the greatest and most
important contributions to the development of theories related to
knowledge include Kogut and Zander (1992), Nonaka and Takeuchi
(1995), Grant (1996), Davenport and Prusak (Kogut and Zander (1992),
Nonaka and Takeuchi (1995), Grant (1996), Davenport and Prusak (Kogut
and Zander (1992) 1998) This thesis uses the definition of Davenport and
Prusak (1998): “Knowledge is a fluid combination of experiences, values,
contextual information, and insights to provide a framework for assessment
and combination of experience and new information Knowledge is derived
and applied in the minds of those who know In organizations, knowledge
is not only contained in documents, or knowledge repositories, but also
contained in the processes, practices, and operating rules of the organization
1.1.1.2 Knowledge classification
a Tacit and explicit knowledge
Based on the research of Polanyi (1966), Nonaka (1994) has clearly
distinguished two concepts "hidden knowledge" and "exposed knowledge"
as follows:
Table 1.1 Compare tacit and explicit knowledge
Helps to adapt to new and special
situations
Can be disseminated, copied, accessed and applied throughout the organization
Includes deep expertise, know-how,
insight
Use for training, development
Ability to coordinate, share vision,
communicate culture
Organize, organize, systematize, turn vision into mission statement as well
as guiding implementation
Delivered through coaching,
face-to-face and one-on-one
Delivered across products, services, and processes that are documented
or documented
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b Knowledge "experience" and knowledge "action"
Some types of organizational knowledge, such as values and beliefs, are not reflected in systematized documents but are written into the brains
of individuals and cannot be transferred through formal documents such as email or official documents Therefore, the way to make tacit knowledge clear is to learn by “action” or learn by “experience”
c Human, social and structure knowledge
- Human knowledge: Usually expressed in the form of tacit knowledge
Personal knowledge is perceptual and cognitive Personal knowledge is often felt or accumulated from an individual's previous experience
- Social knowledge: Like individual knowledge, group knowledge is also a
form of "highly hidden" knowledge Group knowledge is formed through the process of interaction and coordination between individuals or groups and is expressed through the capacity and coordination of working groups
At the same time, the ability to effectively coordinate between individuals
or groups is a manifestation of social knowledge in the organization
- Structure knowledge: Organizational knowledge is also known as
system knowledge Organizational knowledge is different from personal knowledge and social knowledge because it is completely independent of the person/individual who holds the knowledge Because systems knowledge is “highly visible” knowledge, which is embodied in the organization's system processes, operational processes, and databases
1.1.2 Knowledge management
Carlino (2001) argued that innovation depends on changing the ideas
of employees in enterprises At the same time, research by Kanter (1986) confirms that the process of awareness and creation of new ideas is the beginning stage of innovation Therefore, many studies have suggested that all innovation activities in enterprises originate from behavioral innovation
in enterprises (Janssen, 2000; Lumpkin and Dess, 1996; Lu et al., 2015) For example, Janssen (2000) gave the definition of innovation work behavior as “creating, introducing and intentionally applying new ideas in work at businesses businesses to benefit businesses ”(cited by Fu et al., 2014; Omri, 2015) Lu et al (2015) based on research by Scott and Bruce (1994) suggest that innovation consists of three manifestations: forming new ideas, promoting new ideas and applying new ideas
In Vietnam and in the world today, there are many definitions and ways of measuring knowledge management (Ho, 2009; Zaied et al., 2012)
Trang 5However, most of the prominent studies in the world on knowledge
management have determined that knowledge management in enterprises
includes two aspects: (1) Knowledge infrastructure capability and (2) ) the
knowledge process capability (Davenport and Prusak, 1998; Gold et al.,
2001; Mills and Smith, 2011; Zaied et al., 2012; Ngoc-Tan and Gregar,
2019) From the overview of research works in the world, in this thesis, the
author gives the following definition of knowledge management:
Knowledge management includes two aspects: Knowledge
infrastructure capability and knowledge process capability In particular,
the knowledge infrastructure capability creates conditions to promote the
knowledge process capability in enterprises, thereby helping enterprises
improve competitive advantages and achieve better firm performance
1.1.3 Knowledge infrastructure capability
Knowledge infrastructure capacity is a set of factors supporting the
knowledge management process of enterprises, including 4 elements: (1)
organizational culture, (2) organizational structure, ( 3) technology, (4)
management leadership and support Knowledge infrastructure capability
creates favorable conditions for employees to absorb knowledge as well as
encourages them to share and learn knowledge together to improve
productivity, thereby creating competitive advantages for employees and
better firm performance
1.1.4 Knowledge process capability
The knowledge management process is a set of factors that enable an
enterprise to effectively use its internal and external knowledge resources
to achieve better performance and enhance competitive advantage in the
global marketplace There are four factors in the market: (1) Knowledge
acquisition, (2) knowledge conversion, (3) knowledge application and (4)
knowledge protection At the same time, the knowledge process capability
also helps businesses take advantage of the efficiency created by the
capability of the knowledge infrastructure
1.1.5 Firm performance
Firm performance reflects a firm's ability to meet shareholder
requirements and survive in the market (Griffin, 2003)
Firm performance reflects the ability and results of the enterprise in
using resources such as people, finance and facilities to achieve objectives
(Medella et al., 2005)
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Firm performance are financial and non-financial metrics used by an enterprise to measure how well its results and objectives have been achieved over a specified period of time The performance of enterprises is evaluated through operating performance and market performance
- Market peformance: Includes indicators related to total sales, sales growth, market share, competitive position and overall performance of the business (Delaney and Huselid, 1996; Lu et al., 2015)
- Operating performance: Including indicators on the rate of return on total assets (ROA), rate of return on sales (ROS); profitability, increase in total assets and employee morale (Delaney and Huselid, 1996; Lu et al., 2015)
1.2 Relationships
1.2.1 Knowledge infrastructure capability and firm performance
Knowledge infrastructure capability includes 4 factors: (1) Organizational culture, (2) organizational structure, (3) technology, (4) management leadership and support Many studies in Vietnam and around the world have shown that knowledge infrastructure capability is a particularly important capacity for the knowledge management process in enterprises, helping enterprises to improve their knowledge, operating performance and market performance (Gold et al., 2001; Lee and Choi, 2003; Lee et al., 2008; Liao et al., 2010; Mills and Smith, 2011; Chang and Chuang, 2011; Wong and Wong, 2011; Zaied et al., 2012; Chuang et al., 2013; Tan and Wong, 2015; Alaarj et al., 2016; Payal et al., 2019)
1.2.2 Knowledge process capability and firm performance
Knowledge process capability is a set of key competencies that enable enterprises to implement knowledge management activities within the organization, including four main factors: (1) Knowledge acquisition, (2) knowledge conversion, (3) knowledge application and (4) knowledge protection (Gold et al., 2001; Mills and Smith, 2011) Although currently, researches in Vietnam and around the world have not yet agreed on the factors in the process of knowledge management (Gold et al., 2001; Ngoc-Tan, 2019; Payal et al., 2019) But most studies have concluded that knowledge management process positively affects the performance of enterprises (Gold et al., 2001; Mills and Smith, 2011; Zaied, 2012; Noh et al., 2014; Pérez-López and Alegre, 2012; Alaarj et al., 2016; Ngoc-Tan, 2019; Payal et al., 2019)
1.2.3 Innovation and firm performance
Currently, in Vietnam and in the world, there are very few studies on the impact of knowledge infrastructure capability on the knowledge process
Trang 6knowledge infrastructure capability is required as a set of supports to make
the knowledge management process of enterprises easier and more
convenient (Lee and Choi, 2003; Ho, 2009, Rehman and Iqbal, 2020) In
addition, the capacity of knowledge infrastructure not only helps the
enterprise's knowledge to be synchronously established, but also creates a
motivation for employees to develop knowledge as well as encourages
them to receive, transfer and sharing knowledge and experience in the
enterprise, thereby improving labor productivity and increasing operational
results for the whole enterprise (Ichijo et al., 1998; Gold et al., 2001; Mills
and Smith , 2011; Tan and Wong, 2015)
1.3 Research gaps
Firstly, about the research model, the author has built an overall
model to evaluate the impact of knowledge management, including:
Knowledge infrastructure capability and knowledge process capability on
firm performance In which, previous studies often only assessed the
impact of knowledge management on operating performance, this study
evaluated firm performance in two aspects: market performance and
operating performance In addition, for knowledge infrastructure capability,
the author has added the factor "management leadership and support" to the
research model
Secondly, in terms of research methods, the thesis uses two methods
at the same time: second-order construct and first-order construct
Second-order construct analysis will help assess the overall impact of the
knowledge management on firm performance In addition, the first-order
construct will help assess the impact of each element of knowledge
infrastructure capability and knowledge process capability on operating and
market performance This will help come up with appropriate and specific
solutions for Vietnamese businesses
1.4 Background theories
1.4.1 Resource based-view
The literature review shows that most of the studies in the world on
the impact of knowledge infrastructure capabilities on business
performance are using a resource-based view (Resource-based view) RBV)
(Holsapple and Joshi, 2001; Chuang, 2004; Mills and Smith, 2011; Tseng
and Lee, 2014; Barkar et al., 2016; Gürlek and Çemberci, 2020)
Studies on the resource-based perspective of Wernerfelt (1984) and
Barney (1991) suggest that if a business has resources that ensure all four
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factors: (1) Value, (2) scarcity, (3) difficult to imitate or copy, and (4) non-substitutable, can create a sustainable competitive advantage over competitors
Source: Barney (1991) The researches of Rumelt (1984), Wernerfelt (1984), Barney (1991), Gold et al (2001) suggest that the resource-based perspective does not just stop at the "resources" inside the business business, but also expanded with the "capabilities" that the business owns Thus, the resource-based perspective is defined as firms using unique resources and capabilities to create a sustainable competitive advantage over the long term (Chuang, 2004) And when businesses have a competitive advantage, it will help increase operating performance for businesses, as well as help businesses create sustainable profits for a long time (Wernerfelt, 1984; Barney, 1991; Huselid, 1995; Denaley and Huselid, 1996; Rothenberg et al., 2015) Therefore, based on the view of resources (RBV), it can be concluded that knowledge infrastructure is a kind of "special capability" that helps enterprises increase their competitive advantage and performance in the future
1.4.2 Knowledge-based view
The knowledge-based view is derived from the resource-based view because knowledge is a unique and extremely important resource for creating competitive advantage (Grant, 1996b) Most of the research in the world on the impact of the knowledge management process on business performance is based on the knowledge perspective put forward by Grant (1996b) (Hsu and Sabherwal, 2011; Noh et al., 2014; Donate and Pablo, 2014; Gürlek and Çemberci, 2020; Rehman and Iqbal, 2020)
Grant (1996b) argues that knowledge is the main and key productive resource in creating business strategies as well as creating added value for enterprises
- Firstly, enterprises can accumulate knowledge through regulations and directives In particular, regulations are standards established to regulate the interaction between individuals and employees in the
Resources
- Value
- Rare
- Imperfect Imitability
- Non-substitutability
Compettitive Advantage
Trang 7instructing novices Enterprises can issue regulations on work, salary and
bonus regimes or regulations on initiatives in the organization Individual
employees will be more motivated to generate new ideas if they know they
will receive rewards This will help businesses get more creative ideas from
individual employees (Nguyen Van Thang, 2015)
- Secondly, enterprises can accumulate knowledge through sequence
Sequence is the production process in the enterprise The order stipulates
that employees in the enterprise must produce and strictly follow the
production stages sequentially in a separate time unit In which, different
workers will have different work orders and regulations with separate time
periods (Nguyen Van Thang, 2015) Through the promulgation of orders
and procedures related to production and business activities, enterprises can
guide employees to thoroughly follow the steps in the working process,
thereby spreading the word knowledge more easily At the same time,
these sequences can be accumulated over time so that older workers can
easily interpret and transfer to newcomers
- Thirdly, businesses can accumulate knowledge through habits
Habits are workers' actions, signals and responses that are repeated over a
long period of time and are difficult to change Habits are developed by
teams working within a business over a relatively long period of time
Habits allow complex interactions to occur between individuals
automatically Therefore, enterprises can share and transfer knowledge
through changing habits as well as forming good habits of employees
through working groups At the same time, the good habits of a certain
work group can be a good knowledge that is widely disseminated by the
enterprise to the whole company
- Fourthly, enterprises can accumulate knowledge through problem
solving as well as decision making by working groups Problem solving is
often introduced to perform complex or unusual tasks (Nguyen Van Thang,
2015) Through the process of problem solving and decision making,
individuals in the working group will have the opportunity to exchange and
interact with each other, thereby forming new ideas to solve problems,
helping businesses industry can gain more knowledge
Therefore, it can be concluded that the knowledge management
process helps businesses increase customer satisfaction, business reputation
as well as improve the efforts of employees At the same time, the
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change of the business environment, increase innovation as well as accelerate the commercialization of products, while minimizing waste , saving production costs, thereby improving business performance (Gold et al., 2001; Mills and Smith, 2011; Supyuenyong and Swierczek, 2011)
1.5 Research model and hypothesises
1.5.1 Research model
- Independent variable: Knowledge management includes two aspects: (1) Knowledge infrastructure capability and (2) knowledge process capability Knowledge infrastructure capability includes four factors: (1) Organizational culture, (2) organizational structure, (3) technology, and (4) management leadership and support And the knowledge process capability has four factors: (1) Knowledge acquisition, (2) knowledge conversion, (3) knowledge application and (4) knowledge protection
- Dependent variable: Firm performance includes two aspects: (1) Operating performance and (2) market performance
Based on the theoretical basis and overview, the model is as follows:
Figure 1.2 Research model
Leadership
Application
Technology
Structure
Culture
Acquisition
Conversion
Protection
Knowledge-infrastruture capability
Knowledge process capability
Firm performance
Operating
Market
Trang 81.5.2 Research hypothesis
Hypothesis H1: Knowledge infrastructure capability has a positive impact
on firm performance
Hypothesis 2: Knowledge management process has a positive impact on
firm performance
Hypothesis 3: Knowledge infrastructure capability has a positive impact on
the knowledge process capability
CHAPTER2 RESEARCH METHODOLOGY
2.1 Research design
The author used a combination of two methods: Qualitative research
and quantitative research Qualitative research is used to add a measure of
“management leadership and support” At the same time, with qualitative
research, the author has selected the most important and appropriate
indicators for knowledge infrastructure and knowledge management
process in the context of Vietnam's economy Meanwhile, quantitative
research is used to test research hypotheses, as well as evaluate the impact
of independent variables on dependent variables in the research model The
data used in the study were collected throughout the country including the
North, Central and South regions
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Figure 2.1 Research process
Source: Author's proposal
Step 1: Research overview: The research overview is applied to
systematize and find out the theoretical gaps related to the relationship between the knowledge infrastructure capability and knowledge process capability on firm performance
Step 2: Research the theoretical basis: Through the study of
overview and theoretical basis, the author has developed research hypotheses for independent variables, intermediate variables, dependent variables and control variables as well as the preliminary scale of variables
in the research model between knowledge management and firm
Preliminary qualitative research
Official quantitative research
Building and standardizing
Research report
Hypothesis testing
Conclusion, discussion and recommendations
variables and scales
Trang 9Step 3: Preliminary qualitative research: After determining the
research overview and theoretical basis, the author has conducted
preliminary qualitative research The purpose of qualitative research is to
select, test and identify the most important factors of knowledge
management and knowledge infrastructure that affect business
performance At the same time, based on the research scale on knowledge
management and knowledge infrastructure of Gold et al (2001), the author
used qualitative research methods to select important indicators and the
most appropriate of knowledge management and knowledge infrastructure
in the context of enterprises in Vietnam Besides, through qualitative
research, the author has also added a number of indicators for knowledge
process capability and knowledge infrastructure capability in enterprises in
Vietnam In addition, through qualitative research, the author has also
adjusted the terms and styles used in the survey questionnaire to suit the
economic context of Vietnam
Step 4: Formal Quantitative Research: After finishing the qualitative
research and correcting the Vietnamese scale, the author conducted a
formal quantitative research by collecting survey questionnaires from
businesses industry in all 3 regions of North, Central and South of
Vietnam The author conducted the construction of the questionnaire in two
ways Firstly, the author designed a survey questionnaire on A4 paper and
sent it directly to businesses in Hanoi Secondly, for businesses that are far
away due to geographical distance, the author has designed a survey
questionnaire on the Google Form application and sent it to the email
addresses of businesses for assistance in answering The survey period took
place in 4 months from February 1, 2021 to May 1, 2021 The author sent a
total of 1.500 survey questionnaires to business partners and received 539
responses (35,9%) from 31 provinces and cities in all 3 regions of the
North, Central and South of Vietnam At the same time, the subjects
selected to participate in the survey were Directors/Deputy Directors of
enterprises to ensure accuracy and representativeness Because the Director
or Deputy Director are the ones who have the most accurate and
knowledgeable understanding of the production and business activities of
their business The survey questionnaire consists of 60 questions, of which:
(1) Organizational culture (VH) has 6 questions, (2) organizational
structure (CC) has 7 questions, (3) technology (CN) has 5 questions, (4)
management leadership and support (LD) has 7 sentences, (5) knowledge
acquisition (TN) has 5 questions, (6) knowledge conversion (CG) has 6
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protection (BV) has 7 questions, (9) operating performance (VHA) has 5 questions and (10) market performance (TT) has 5 questions All the questions in the survey questionnaire sent to businesses are designed on a Likert scale from level 1 to level 5, in which level 1 is "strongly disagree" and level 5 is "strongly agree"
For quantitative analysis for second-order construct variables, the tools used include: Descriptive statistical analysis to determine the mean and median values of the research data set In addition, the author also uses the reliability analysis of the scale of independent and dependent variables according to Cronbach's Alpha coefficient, exploratory factor analysis (EFA) to remove inappropriate observed variables as well as reducing a set
of many observed variables into a smaller set but keeping the original information content and meaning In addition, the author also uses the correlation analysis method to evaluate the Pearson correlation coefficient
to determine the correlation relationship between the independent variables and the dependent variables Finally, the least squares linear regression (OLS) method was used to test the research hypotheses All these analytical methods were performed using SPSS software version 20
Besides, in addition to unidirectional variables, this study also uses multi-directional variables in the analysis In which, the two independent variables are the knowledge management process and the knowledge infrastructure, while the dependent variable is the business results The knowledge management process is a collection of variables: (1) Knowledge acquisition, (2) knowledge conversion, (3) knowledge application and (4) knowledge protection Meanwhile, knowledge infrastructure is a collection
of variables: (1) organizational culture, (2) organizational structure, (3) technology, and (4) management leadership and support The performance
of an enterprise is a collection of variables: (1) Operating performance and (2) market performance
Step 5: Report the research results: Finally, based on the estimated
results of the research model, the author will conclude and discuss the research results At the same time, the author also made some recommendations to help businesses in Vietnam come up with appropriate policies on knowledge management as well as create a cultural environment for spreading knowledge for employees activities, contributing to promoting the performance of enterprises in Vietnam
Trang 10CHAPTER 3 RESEARCH RESULTS
3.1 Descriptive statistics research sample
The survey results show that the most respondents are directors in
enterprises with 279 people, accounting for 57,8% In addition, the Deputy
Director had 203 respondents to the survey questionnaire, accounting for
42,2% It can be seen that the response rate to the survey questionnaire
between the Director and the Deputy Director is relatively equal and there
is no big difference
There is a clear difference in the educational level of the respondents
who responded to the survey questionnaire In which, the most respondents
to the survey questionnaire were Masters with 239 people, accounting for
49,6% Next is the university degree with 186 people, accounting for
38,6% Intermediate/college level has 35 respondents, accounting for 7,2%
And finally, the subjects who answered at least were PhDs with 22 people,
accounting for 4,6%
Statistical analysis results show that the age group participating in
the survey the most is from 40 years old to under 50 years old with 235
people, accounting for 48,8% And the age group participating in the
survey is at least over 60 years old with 32 people, accounting for 6,6%
Besides, the age group from 30 to under 40 years old has 36 people,
accounting for 7,5% And the age group from 50 to under 60 has 179
people, accounting for 37,1%
3.2 Results of testing scales
3.2.1 Cronbach’s Alpha
The thesis evaluates the reliability of the scale according to
Cronbach's Alpha coefficient for each group of observed variables with the
criterion of excluding observations with total correlation coefficient < 0.3
and Cronbach's Alpha coefficient < 0.6 ( Hair et al., 1998) After testing
Cronbach's Alpha, all groups of factors give good results
3.2.2 Exploratory factor analysis (EFA)
The results of the first exploratory factor analysis (EFA) for 50
independent variables with 8 factors show that the variables have
converged and are separate in each group However, the LD7 indicator
"Leaders show support for knowledge management" has a factor loading
coefficient < 0.5, so it will be excluded from the research model (Hair et al
events, 2018) After removing the LD7 indicator from the LD factor, the
author conducted the second exploratory factor analysis (EFA) for 49
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independent variables with 8 groups of factors The analysis results show that all factors have converged and separate At the same time, all indicators have factor loadings greater than 0.5, so they qualify in EFA analysis (Hair et al., 2018) In addition, the cumulative total explanatory variance in the second EFA analysis for the independent variables was 74,060 > 50%, showing that the survey data explained more than 74% of the variation of the variables in the research model The study should have very high reliability (Hair et al., 2018)
The results of exploratory factor analysis (EFA) and the reliability of the scale according to Cronbach's Alpha coefficient showed that the dependent variables had convergence and separateness At the same time, the observed variables all have factor loading coefficients greater than 0.5,
so they are satisfactory (Hair et al., 2018) Besides, the KMO coefficient in the EFA analysis is 0.947 > 0.5, so it meets the standard (Hair et al., 2018)
In addition, the cumulative explanatory variance of the dependent variables
is 61,587, showing that the survey data explains more than 61% of the variation of the variables in the research model
3.3 Correlation analysis
The results of the correlation analysis show that the independent and dependent variables are all correlated at 5% significance level At the same time, there is no pair of Pearson correlation coefficients between the variables greater than 0.8, so there is no serious multicollinearity (Hoang Trong and Chu Nguyen Mong Ngoc, 2008)
3.4 Linear regression analysis
3.4.1 First-order construct
Table 3.1 Regression results
Variables Operating performance (VHA) Market performance (TT)